Udemy - Programming for Non-Programmers (2022)

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.9 GB
  • Uploaded Byfreecoursewb
  • Downloads49
  • Last checkedAug. 26th '22
  • Date uploadedAug. 25th '22
  • Seeders 0
  • Leechers38

Infohash : 4DC81EBD52B42EC0BD5A685B72EE7AC5AE4B4F6E

Programming for Non-Programmers (2022)



https://DevCourseWeb.com

Published 08/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 15 lectures (2h 39m) | Size: 2 GB

Introduction to Python & Data Analysis

What you'll learn
Programming Basics: learn ~any~ language with these basic skills.
Python - a popular, powerful, and easy-to-learn programming language
Numpy - a popular Python library for data analysis
Pandas - a popular Python library for data analysis
Analyze a dataset & graph your results!

Requirements
Access to a computer or laptop
Access to the internet
No coding skills required!

Files:

[ DevCourseWeb.com ] Udemy - Programming for Non-Programmers (2022)
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction.mp4 (55.3 MB)
    • 1. Introduction.mp4.jpg?v=2 (155.9 KB)
    • 1. Introduction.srt (7.3 KB)
    • 2. How To Get Python.mp4 (90.8 MB)
    • 2. How To Get Python.srt (10.1 KB)
    2. Python Basics
    • 1. Hello World!.mp4 (33.3 MB)
    • 1. Hello World!.srt (5.0 KB)
    • 2. Variables & Basic Math.mp4 (192.7 MB)
    • 2. Variables & Basic Math.srt (23.2 KB)
    • 3. If Statements.mp4 (230.6 MB)
    • 3. If Statements.srt (27.6 KB)
    • 4. For Loops.mp4 (52.0 MB)
    • 4. For Loops.srt (5.5 KB)
    • 5. While Loops.mp4 (112.3 MB)
    • 5. While Loops.srt (12.7 KB)
    • 6. Functions & Methods.mp4 (151.4 MB)
    • 6. Functions & Methods.srt (21.3 KB)
    • 7. Classes.mp4 (171.9 MB)
    • 7. Classes.srt (21.4 KB)
    3. Intermission
    • 1. Congrats! You now know every language!.mp4 (14.3 MB)
    • 1. Congrats! You now know every language!.srt (1.7 KB)
    4. Analyzing Data with Python
    • 1. Numpy.mp4 (190.3 MB)
    • 1. Numpy.srt (24.9 KB)
    • 2. Numpy Challenge.mp4 (36.4 MB)
    • 2. Numpy Challenge.srt (4.9 KB)
    • 3. Pandas.mp4 (175.4 MB)
    • 3. Pandas.srt (21.2 KB)
    • 4. Matplotlib.mp4 (245.3 MB)
    • 4. Matplotlib.srt (28.2 KB)
    • 5. Final Project.mp4 (238.5 MB)
    • 5. Final Project.srt (28.0 KB)
    • Bonus Resources.txt (0.4 KB)

Code:

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